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Synthetic Data Augmentation using GAN for Improved Liver Lesion
  Classification

Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification

8 January 2018
Maayan Frid-Adar
Eyal Klang
Michal Amitai
Jacob Goldberger
H. Greenspan
    MedImGAN
ArXiv (abs)PDFHTML

Papers citing "Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification"

50 / 210 papers shown
VibrantLeaves: A principled parametric image generator for training deep restoration models
VibrantLeaves: A principled parametric image generator for training deep restoration models
Raphaël Achddou
Y. Gousseau
Saïd Ladjal
Sabine Süsstrunk
261
1
0
24 Dec 2025
Generative Hints
Generative Hints
Andy Dimnaku
Abdullah Yusuf Kavranoğlu
Yaser Abu-Mostafa
196
0
0
04 Nov 2025
BI-DCGAN: A Theoretically Grounded Bayesian Framework for Efficient and Diverse GANs
BI-DCGAN: A Theoretically Grounded Bayesian Framework for Efficient and Diverse GANs
Mahsa Valizadeh
Rui Tuo
James Caverlee
130
0
0
30 Oct 2025
UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation
UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation
Jiyu Guo
Shuo Yang
Yiming Huang
Yancheng Long
Xiaobo Xia
Xiu Su
Bo Zhao
Zeke Xie
Liqiang Nie
188
1
0
28 Oct 2025
A Hybrid Machine Learning Approach for Synthetic Data Generation with Post Hoc Calibration for Clinical Tabular Datasets
A Hybrid Machine Learning Approach for Synthetic Data Generation with Post Hoc Calibration for Clinical Tabular Datasets
Md Ibrahim Shikder Mahin
Md Shamsul Arefin
Md Tanvir Hasan
SyDa
210
0
0
12 Oct 2025
SDAKD: Student Discriminator Assisted Knowledge Distillation for Super-Resolution Generative Adversarial Networks
SDAKD: Student Discriminator Assisted Knowledge Distillation for Super-Resolution Generative Adversarial Networks
Nikolaos Kaparinos
Vasileios Mezaris
156
0
0
04 Oct 2025
Extreme value forecasting using relevance-based data augmentation with deep learning models
Extreme value forecasting using relevance-based data augmentation with deep learning models
Junru Hua
Rahul Ahluwalia
Rohitash Chandra
AI4TS
137
0
0
02 Oct 2025
High Cursive Complex Character Recognition using GAN External Classifier
High Cursive Complex Character Recognition using GAN External ClassifierInternational Conferences on Computing Advancements (ICCCA), 2022
S M Rafiuddin
GAN
184
0
0
03 Sep 2025
T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis
T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and DiagnosisIEEE journal of biomedical and health informatics (JBHI), 2025
Xiaojiao Xiao
Jianfeng Zhao
Qinmin Hu
Guanghui Wang
MedIm
120
1
0
13 Aug 2025
Streamlining Admission with LOR Insights: AI-Based Leadership Assessment in Online Master's Program
Streamlining Admission with LOR Insights: AI-Based Leadership Assessment in Online Master's Program
Meryem Yilmaz Soylu
Adrian Gallard
Jeonghyun Lee
Gayane Grigoryan
Rushil Desai
Stephen Harmon
159
0
0
07 Aug 2025
AutoGeTS: Knowledge-based Automated Generation of Text Synthetics for Improving Text Classification
AutoGeTS: Knowledge-based Automated Generation of Text Synthetics for Improving Text Classification
Chenhao Xue
Yuanzhe Jin
Adrian Carrasco-Revilla
Joyraj Chakraborty
Min Chen
SyDa
234
0
0
04 Aug 2025
Bringing Balance to Hand Shape Classification: Mitigating Data Imbalance Through Generative Models
Bringing Balance to Hand Shape Classification: Mitigating Data Imbalance Through Generative ModelsApplied Soft Computing (ASC), 2025
Gastón Ríos
P. D. Bianco
Franco Ronchetti
F. Quiroga
Oscar Stanchi
Santiago Ponte Ahón
Waldo Hasperué
GANSLR
270
0
0
22 Jul 2025
Efficacy of Image Similarity as a Metric for Augmenting Small Dataset Retinal Image Segmentation
Efficacy of Image Similarity as a Metric for Augmenting Small Dataset Retinal Image Segmentation
Thomas Wallace
I. Heng
Senad Subasic
C. Messenger
MedIm
259
0
0
07 Jul 2025
Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects
Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects
Zihan Hong
Yushi Wu
Zhiting Zhao
Shanshan Feng
Jianghong Ma
Jiao Liu
Tianjun Wei
3DV
177
0
0
20 Jun 2025
ScoreMix: Synthetic Data Generation by Score Composition in Diffusion Models Improves Recognition
ScoreMix: Synthetic Data Generation by Score Composition in Diffusion Models Improves Recognition
Parsa Rahimi
S´ebastien Marcel
DiffM
271
1
0
11 Jun 2025
FetalFlex: Anatomy-Guided Diffusion Model for Flexible Control on Fetal Ultrasound Image Synthesis
FetalFlex: Anatomy-Guided Diffusion Model for Flexible Control on Fetal Ultrasound Image Synthesis
Yaofei Duan
Tao Tan
Zhiyuan Zhu
Yuhao Huang
Yuanji Zhang
...
Guangzhi He
Linliang Yin
Xuedong Deng
Xin Yang
Dong Ni
MedIm
222
2
0
19 Mar 2025
AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition
AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition
Parsa Rahimi
Damien Teney
S´ebastien Marcel
480
2
0
14 Mar 2025
A Decade of Deep Learning: A Survey on The Magnificent Seven
A Decade of Deep Learning: A Survey on The Magnificent Seven
Dilshod Azizov
Muhammad Arslan Manzoor
Velibor Bojkovic
Yingxu Wang
Liang Luo
...
Liang Li
Houcheng Su
Yu Zhong
Wei Liu
Shangsong Liang
OODAI4TSMedIm
304
0
0
13 Dec 2024
DAug: Diffusion-based Channel Augmentation for Radiology Image Retrieval
  and Classification
DAug: Diffusion-based Channel Augmentation for Radiology Image Retrieval and Classification
Ying Jin
Zhuoran Zhou
Haoquan Fang
Lei Li
DiffMMedIm
172
0
0
06 Dec 2024
FairSkin: Fair Diffusion for Skin Disease Image Generation
FairSkin: Fair Diffusion for Skin Disease Image Generation
Ruichen Zhang
Yuguang Yao
Zhen Tan
Hao Sun
Pan Wang
Huan Liu
Jingtong Hu
Sijia Liu
Tianlong Chen
MedIm
293
2
0
29 Oct 2024
SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data
SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data
Xilin He
Cheng Luo
Xiaole Xian
Bing Li
Siyang Song
...
Weicheng Xie
Linlin Shen
LinLin Shen
Bernard Ghanem
Xiangyu Yue
390
6
0
13 Oct 2024
Learning Gaussian Data Augmentation in Feature Space for One-shot Object
  Detection in Manga
Learning Gaussian Data Augmentation in Feature Space for One-shot Object Detection in MangaACM Multimedia Asia (MMAsia), 2024
Takara Taniguchi
Ryosuke Furuta
287
1
0
08 Oct 2024
Ordinary Differential Equations for Enhanced 12-Lead ECG Generation
Ordinary Differential Equations for Enhanced 12-Lead ECG Generation
Yakir Yehuda
Kira Radinsky
SyDa
115
1
0
26 Sep 2024
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AIIEEE Transactions on Learning Technologies (IEEE TLT), 2024
Liang Zhang
Jionghao Lin
John Sabatini
Conrad Borchers
Daniel Weitekamp
Meng Cao
John Hollander
Xiangen Hu
Arthur C. Graesser
353
5
0
24 Sep 2024
Counterfactual Explanations for Medical Image Classification and
  Regression using Diffusion Autoencoder
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion AutoencoderMachine Learning for Biomedical Imaging (MLBI), 2024
Matan Atad
D. Schinz
Hendrik Moeller
Robert Graf
Benedikt Wiestler
Daniel Rueckert
Nassir Navab
Jan S. Kirschke
Matthias Keicher
CMLDiffMMedIm
300
14
0
02 Aug 2024
Non-Reference Quality Assessment for Medical Imaging: Application to
  Synthetic Brain MRIs
Non-Reference Quality Assessment for Medical Imaging: Application to Synthetic Brain MRIs
Karl Van Eeden Risager
Torkan Gholamalizadeh
Mostafa Mehdipour-Ghazi
DiffMMedIm
144
3
0
20 Jul 2024
DART: A Solution for Decentralized Federated Learning Model Robustness
  Analysis
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis
Chao Feng
Alberto Huertas Celdrán
Jan von der Assen
Enrique Tomás Martínez Beltrán
Gérome Bovet
Burkhard Stiller
OODAAML
206
15
0
11 Jul 2024
Improving Deep Learning-based Automatic Cranial Defect Reconstruction by
  Heavy Data Augmentation: From Image Registration to Latent Diffusion Models
Improving Deep Learning-based Automatic Cranial Defect Reconstruction by Heavy Data Augmentation: From Image Registration to Latent Diffusion Models
Marek Wodzinski
K. Kwarciak
Mateusz Daniol
D. Hemmerling
DiffMMedIm
178
8
0
10 Jun 2024
Enhancing Indoor Temperature Forecasting through Synthetic Data in
  Low-Data Environments
Enhancing Indoor Temperature Forecasting through Synthetic Data in Low-Data Environments
Zachari Thiry
Massimiliano Ruocco
Alessandro Nocente
Michail Spitieris
109
1
0
07 Jun 2024
Improving Object Detector Training on Synthetic Data by Starting With a
  Strong Baseline Methodology
Improving Object Detector Training on Synthetic Data by Starting With a Strong Baseline Methodology
Frank Ruis
Alma M. Liezenga
Friso G. Heslinga
Luca Ballan
Thijs A. Eker
Richard J. M. den Hollander
Martin C. van Leeuwen
Judith Dijk
Wyke Huizinga
210
9
0
30 May 2024
RetAssist: Facilitating Vocabulary Learners with Generative Images in
  Story Retelling Practices
RetAssist: Facilitating Vocabulary Learners with Generative Images in Story Retelling Practices
Qiaoyi Chen
Siyu Liu
Kaihui Huang
Xingbo Wang
Xiaojuan Ma
Junkai Zhu
Zhenhui Peng
175
6
0
23 May 2024
Generative Artificial Intelligence: A Systematic Review and Applications
Generative Artificial Intelligence: A Systematic Review and Applications
S. S. Sengar
Affan Bin Hasan
Sanjay Kumar
Fiona Carroll
MedIm
301
231
0
17 May 2024
How to Augment for Atmospheric Turbulence Effects on Thermal Adapted
  Object Detection Models?
How to Augment for Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models?
Engin Uzun
Erdem Akagündüz
238
0
0
10 May 2024
DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing
  Conditional Generative Adversarial Networks
DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing Conditional Generative Adversarial Networks
Matthew Squires
Xiaohui Tao
Soman Elangovan
R. Gururajan
Haoran Xie
Xujuan Zhou
Yuefeng Li
Rajendra Acharya
214
0
0
25 Apr 2024
Privacy-Preserving Debiasing using Data Augmentation and Machine
  Unlearning
Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning
Zhixin Pan
Emma Andrews
Laura Chang
Prabhat Mishra
MU
166
1
0
19 Apr 2024
Best Practices and Lessons Learned on Synthetic Data for Language Models
Best Practices and Lessons Learned on Synthetic Data for Language Models
Ruibo Liu
Jerry W. Wei
Fangyu Liu
Chenglei Si
Yanzhe Zhang
...
Steven Zheng
Daiyi Peng
Diyi Yang
Denny Zhou
Andrew M. Dai
SyDaEgoV
308
115
0
11 Apr 2024
DODA: Adapting Object Detectors to Dynamic Agricultural Environments in Real-Time with Diffusion
DODA: Adapting Object Detectors to Dynamic Agricultural Environments in Real-Time with Diffusion
Shuai Xiang
Pieter M. Blok
James Burridge
Haozhou Wang
Wei Guo
418
0
0
27 Mar 2024
A survey of synthetic data augmentation methods in computer vision
A survey of synthetic data augmentation methods in computer visionMachine Intelligence Research (MIR), 2024
A. Mumuni
F. Mumuni
N. K. Gerrar
343
73
0
15 Mar 2024
Advancing Generative Model Evaluation: A Novel Algorithm for Realistic
  Image Synthesis and Comparison in OCR System
Advancing Generative Model Evaluation: A Novel Algorithm for Realistic Image Synthesis and Comparison in OCR System
Majid Memari
Khaled R. Ahmed
Shahram Rahimi
Noorbakhsh Amiri Golilarz
EGVM
271
2
0
27 Feb 2024
Understanding Test-Time Augmentation
Understanding Test-Time Augmentation
Masanari Kimura
ViT
165
55
0
10 Feb 2024
Segmentation and Characterization of Macerated Fibers and Vessels Using
  Deep Learning
Segmentation and Characterization of Macerated Fibers and Vessels Using Deep Learning
Saqib Qamar
Abu Imran Baba
Stéphane Verger
Magnus Andersson
103
5
0
30 Jan 2024
SynHING: Synthetic Heterogeneous Information Network Generation for
  Graph Learning and Explanation
SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanation
Ming-Yi Hong
Yi-Hsiang Huang
Shao-En Lin
You-Chen Teng
Chih-Yu Wang
Che Lin
252
0
0
07 Jan 2024
Distance Guided Generative Adversarial Network for Explainable Binary
  Classifications
Distance Guided Generative Adversarial Network for Explainable Binary Classifications
Xiangyu Xiong
Yue Sun
Xiaohong Liu
Wei Ke
C. Lam
...
Hui Xie
Tong Tong
Qinquan Gao
Haoming Chen
Tao Tan
GAN
195
0
0
29 Dec 2023
RadImageGAN -- A Multi-modal Dataset-Scale Generative AI for Medical
  Imaging
RadImageGAN -- A Multi-modal Dataset-Scale Generative AI for Medical Imaging
Zelong Liu
Alexander Zhou
Arnold Yang
Alara Yilmaz
Maxwell Yoo
...
Daiqing Li
Z. Fayad
Sean Huver
T. Deyer
X. Mei
MedIm
198
3
0
10 Dec 2023
MedXChat: A Unified Multimodal Large Language Model Framework towards
  CXRs Understanding and Generation
MedXChat: A Unified Multimodal Large Language Model Framework towards CXRs Understanding and GenerationIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Ling Yang
Zhanyu Wang
Huan Wang
Xinyu Liang
Luping Zhou
LM&MAMedIm
249
9
0
04 Dec 2023
Green Edge AI: A Contemporary Survey
Green Edge AI: A Contemporary SurveyProceedings of the IEEE (Proc. IEEE), 2023
Yuyi Mao
X. Yu
Kaibin Huang
Ying-Jun Angela Zhang
Jun Zhang
398
58
0
01 Dec 2023
ScribbleGen: Generative Data Augmentation Improves Scribble-supervised
  Semantic Segmentation
ScribbleGen: Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation
Jacob Schnell
Jieke Wang
Lu Qi
Vincent Tao Hu
Meng Tang
DiffM
273
3
0
28 Nov 2023
A Parameterized Generative Adversarial Network Using Cyclic Projection
  for Explainable Medical Image Classification
A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image ClassificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Xiangyu Xiong
Yue Sun
Xiaohong Liu
C. Lam
Tong Tong
Haoming Chen
Qinquan Gao
Wei Ke
Tao Tan
GANMedIm
236
6
0
24 Nov 2023
MoCo-Transfer: Investigating out-of-distribution contrastive learning
  for limited-data domains
MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains
Yuwen Chen
Helen Zhou
Zachary Chase Lipton
234
2
0
15 Nov 2023
Data efficient deep learning for medical image analysis: A survey
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari
Pravendra Singh
289
21
0
10 Oct 2023
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